Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning

@inproceedings{Tarsitano2021ImageFE,
  title={Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning},
  author={Federica Tarsitano and Claudio Bruderer and Kevin Schawinski and W. G. Hartley Institute for Particle Physics and Astrophysics and Eth Zurich and 27 Wolfgang-Pauli-Strasse and CH-8093 Zurich and Switzerland. and AG Modulos and 1 Technoparkstrasse and 8093 Zurich and Department of Astronomy and University of Geneva and 16 ch.d'Ecogia and CH-1290 Versoix},
  year={2021}
}
Machine learning methods are extensively used for a broad range of applications, from healthcare to economy and to natural sciences. They are often used in image recognition and are also employed to classify sequences, which represent a simpler and more convenient format to store and organize data. In this work we explore the possibility of applying machine learning methods designed for one-dimensional problems to the task of galaxy image classification. The algorithms used for image… 

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